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pro vyhledávání: '"Pohlen, Toby"'
Autor:
Perolat, Julien, de Vylder, Bart, Hennes, Daniel, Tarassov, Eugene, Strub, Florian, de Boer, Vincent, Muller, Paul, Connor, Jerome T., Burch, Neil, Anthony, Thomas, McAleer, Stephen, Elie, Romuald, Cen, Sarah H., Wang, Zhe, Gruslys, Audrunas, Malysheva, Aleksandra, Khan, Mina, Ozair, Sherjil, Timbers, Finbarr, Pohlen, Toby, Eccles, Tom, Rowland, Mark, Lanctot, Marc, Lespiau, Jean-Baptiste, Piot, Bilal, Omidshafiei, Shayegan, Lockhart, Edward, Sifre, Laurent, Beauguerlange, Nathalie, Munos, Remi, Silver, David, Singh, Satinder, Hassabis, Demis, Tuyls, Karl
We introduce DeepNash, an autonomous agent capable of learning to play the imperfect information game Stratego from scratch, up to a human expert level. Stratego is one of the few iconic board games that Artificial Intelligence (AI) has not yet maste
Externí odkaz:
http://arxiv.org/abs/2206.15378
Autor:
Humphreys, Peter C, Raposo, David, Pohlen, Toby, Thornton, Gregory, Chhaparia, Rachita, Muldal, Alistair, Abramson, Josh, Georgiev, Petko, Goldin, Alex, Santoro, Adam, Lillicrap, Timothy
Publikováno v:
Proceedings of the 39th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 2022
It would be useful for machines to use computers as humans do so that they can aid us in everyday tasks. This is a setting in which there is also the potential to leverage large-scale expert demonstrations and human judgements of interactive behaviou
Externí odkaz:
http://arxiv.org/abs/2202.08137
Autor:
Rae, Jack W., Borgeaud, Sebastian, Cai, Trevor, Millican, Katie, Hoffmann, Jordan, Song, Francis, Aslanides, John, Henderson, Sarah, Ring, Roman, Young, Susannah, Rutherford, Eliza, Hennigan, Tom, Menick, Jacob, Cassirer, Albin, Powell, Richard, Driessche, George van den, Hendricks, Lisa Anne, Rauh, Maribeth, Huang, Po-Sen, Glaese, Amelia, Welbl, Johannes, Dathathri, Sumanth, Huang, Saffron, Uesato, Jonathan, Mellor, John, Higgins, Irina, Creswell, Antonia, McAleese, Nat, Wu, Amy, Elsen, Erich, Jayakumar, Siddhant, Buchatskaya, Elena, Budden, David, Sutherland, Esme, Simonyan, Karen, Paganini, Michela, Sifre, Laurent, Martens, Lena, Li, Xiang Lorraine, Kuncoro, Adhiguna, Nematzadeh, Aida, Gribovskaya, Elena, Donato, Domenic, Lazaridou, Angeliki, Mensch, Arthur, Lespiau, Jean-Baptiste, Tsimpoukelli, Maria, Grigorev, Nikolai, Fritz, Doug, Sottiaux, Thibault, Pajarskas, Mantas, Pohlen, Toby, Gong, Zhitao, Toyama, Daniel, d'Autume, Cyprien de Masson, Li, Yujia, Terzi, Tayfun, Mikulik, Vladimir, Babuschkin, Igor, Clark, Aidan, Casas, Diego de Las, Guy, Aurelia, Jones, Chris, Bradbury, James, Johnson, Matthew, Hechtman, Blake, Weidinger, Laura, Gabriel, Iason, Isaac, William, Lockhart, Ed, Osindero, Simon, Rimell, Laura, Dyer, Chris, Vinyals, Oriol, Ayoub, Kareem, Stanway, Jeff, Bennett, Lorrayne, Hassabis, Demis, Kavukcuoglu, Koray, Irving, Geoffrey
Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world. In this paper, we present an analysis of Transformer-based language m
Externí odkaz:
http://arxiv.org/abs/2112.11446